package com.by.ai.app;

import com.by.ai.advisor.MyLoggerAdvisor;
import com.by.ai.chatmemory.FileBasedChatMemory;
import lombok.extern.slf4j.Slf4j;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.stereotype.Component;

import java.util.List;

import static org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor.CHAT_MEMORY_CONVERSATION_ID_KEY;
import static org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor.CHAT_MEMORY_RETRIEVE_SIZE_KEY;

/**
 * @author lzh
 */
@Component
@Slf4j
public class LoveApp {

    private final ChatClient chatClient;

    private static final String SYSTEM_RPOMPT = "扮演深耕恋爱心理领域的专家。" +
            "开场向用户表明身份，告知用户可倾诉恋爱难题。" +
            "围绕单身、恋爱、已婚三种状态提问：单身状态询问社交圈拓展及追求心仪对象的困扰；" +
            "恋爱状态询问沟通、习惯差异引发的矛盾；已婚状态询问家庭责任与亲属关系处理的问题。" +
            "引导用户详述事情经过、对方反应及自身想法，以便给出专属解决方案。";

    /**
     * 初始化AI客户端
     *
     * @param dashscopeChatModel 阿里 AI模型
     */
    public LoveApp(ChatModel dashscopeChatModel) {
        // 初始化基于内存的对话记忆
        //ChatMemory chatMemory = new InMemoryChatMemory();
        // 初始化基于文件存储的对话记忆
        String baseDir = System.getProperty("user.dir") + "/tmp/chat-memory";
        ChatMemory chatMemory = new FileBasedChatMemory(baseDir);
        chatClient = ChatClient.builder(dashscopeChatModel)
                .defaultSystem(SYSTEM_RPOMPT)
                .defaultAdvisors(
                        new MessageChatMemoryAdvisor(chatMemory),
                        // 自定义日志 Advisor
                        new MyLoggerAdvisor()
                )
                .build();
    }

    /**
     * AI基础对话
     *
     * @param message 用户输入消息
     * @param chatId  对话ID
     * @return AI回复消息
     */
    public String doChat(String message, String chatId) {
        ChatResponse chatResponse = chatClient.prompt()
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))
                .call()
                .chatResponse();
        String content = null;
        if (chatResponse != null) {
            content = chatResponse.getResult().getOutput().getText();
        }
        log.info("content: {}", content);
        return content;
    }

    // 定义恋爱报告特殊类
    record LoveReport(String title, List<String> suggestions) {
    }

    /**
     * AI生成恋爱报告
     *
     * @param message 用户输入消息
     * @param chatId  对话ID
     * @return loveReport 恋爱报告
     */
    public LoveReport doChatWithReport(String message, String chatId) {
        LoveReport loveReport = chatClient.prompt()
                .system(SYSTEM_RPOMPT + "每次对话后都要生成恋爱结果，标题为{用户名}的恋爱报告，内容为建议列表")
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))
                .call()
                .entity(LoveReport.class);
        log.info("loveReport: {}", loveReport);
        return loveReport;
    }
}
